Popsink continuously replicates transactions from operational and legacy systems into Snowflake, BigQuery, Iceberg, and more — powering analytics and AI without disruption.
Yet feeding warehouses and lakes at scale is harder than it looks:
Batch ETL jobs create latency and stale dashboards.
Manual pipelines are costly to maintain and break under schema changes.
Legacy sources like IBM i, Oracle, or SAP are difficult to connect directly.
Without reliable ingestion, data initiatives stall and business teams lose trust in the platform.
Seamless integration with IBM i, Oracle, SAP, Postgres, MySQL, and more.
Real-time change data capture (CDC) ensures platforms are always up to date.
Popsink adapts to source changes without breaking pipelines.
Stream data directly into Snowflake, BigQuery, Iceberg, ClickHouse, or your cloud lake.

Popsink's technology rationalizes ingestion costs and enables us to easily move large volumes of data. This allows us to address new analytical use cases for our internal stakeholders, and begin to meet the analytical needs expressed by our clients.
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